Intracluster Moves for Constrained Discrete-Space MCMC
暂无分享,去创建一个
[1] Nando de Freitas,et al. Learning about Individuals from Group Statistics , 2005, UAI.
[2] Jun S. Liu,et al. Bayesian Clustering with Variable and Transformation Selections , 2003 .
[3] Gerard T. Barkema,et al. Monte Carlo Methods in Statistical Physics , 1999 .
[4] K. Kawasaki. Diffusion Constants near the Critical Point for Time-Dependent Ising Models. I , 1966 .
[5] Mark Jerrum,et al. The Swendsen-Wang process does not always mix rapidly , 1997, STOC '97.
[6] Ruslan Salakhutdinov,et al. On the quantitative analysis of deep belief networks , 2008, ICML '08.
[7] Michael I. Jordan,et al. Latent Dirichlet Allocation , 2001, J. Mach. Learn. Res..
[8] Giorgio Parisi,et al. Numerical Simulations of Spin Glass Systems , 1997 .
[9] Nando de Freitas,et al. Hot Coupling: A Particle Approach to Inference and Normalization on Pairwise Undirected Graphs , 2005, NIPS.
[10] Kotagiri Ramamohanarao,et al. Sparse Bayesian Learning for Regression and Classification using Markov Chain Monte Carlo , 2002, ICML.
[11] Nando de Freitas,et al. From Fields to Trees , 2004, UAI.
[12] Geoffrey E. Hinton,et al. Reducing the Dimensionality of Data with Neural Networks , 2006, Science.
[13] Wang,et al. Nonuniversal critical dynamics in Monte Carlo simulations. , 1987, Physical review letters.
[14] J. Hammersley,et al. Monte Carlo Methods , 1965 .
[15] Paul Smolensky,et al. Information processing in dynamical systems: foundations of harmony theory , 1986 .
[16] Hilbert J. Kappen. Deterministic learning rules for boltzmann machines , 1995, Neural Networks.
[17] Christian P. Robert,et al. Monte Carlo Statistical Methods (Springer Texts in Statistics) , 2005 .
[18] Geoffrey E. Hinton,et al. A Learning Algorithm for Boltzmann Machines , 1985, Cogn. Sci..